A novel approach of steganography by using strong edge detection and chaos theory

The growth of the Internet and rapid development of digital devices and network technology led to increase the risks and threats of attackers, therefore the important data that is sent via the Internet must be preserved, one of the most substantial security methods utilized to protect this data is steganography, so this technology must be developed and strengthened in order to face the modern technologies used by the attackers. The aim of this paper is to preserve the data sent via internet by proposing a new method that treats to solve the gaps and weakness of previous methods. Since the edge region of the image is more permissive of alteration, therefore is more convenient for concealing secret information. A novel schema of concealing secret information is suggested by creating new algorithm in the name of strong edges detection algorithm (SEDA) to detect strong edges of the image and using chaotic mapping method to generate random numbers. This schema consist of five stages, where in the first stage the canny algorithm is utilized to reveal edges of the carrier media and store it in the new array called (na1), secondly, the SEDA is used to identified strong edges of the (na1) and the results is stored in the new array called (na2) as the strong edges are utilized to conceal mystery information. Thirdly, chirikov map method are using to generate random keys, where these keys are used to choose the locations in the (na2) and which are used to hide secret information. In the fourth stage, the important data is hidden in the chosen pixel locations. The extraction of important information carry out in the fifth stage, which is the opposite of concealing stage. The results proved that the proposed system increase security, robustness, payload capacity, efficiency and maintaining stego image’s quality.